Expand description

The Minimizer schedulers are a family of corpus schedulers that feed the fuzzer

Structs

A testcase metadata saying if a testcase is favored

The MinimizerScheduler employs a genetic algorithm to compute a subset of the corpus that exercise all the requested features (e.g. all the coverage seen so far) prioritizing Testcases using TestcaseScore

A state metadata holding a map of favoreds testcases for each map entry

Constants

Default probability to skip the non-favored values

Type Definitions

A MinimizerScheduler with LenTimeMulTestcaseScore to prioritize quick and small Testcases that exercise all the entries registered in the MapIndexesMetadata.